Literature DB >> 17919866

A novel PCR-DGGE-based method for identifying plankton 16S rDNA for the diagnosis of drowning.

Fanggang He1, Daixin Huang, Liang Liu, Xiji Shu, Hui Yin, Xiaoting Li.   

Abstract

The diagnosis of drowning is one of the most difficult issues in forensic practice. We have developed a sensitive and specific PCR and DGGE method for identifying the 16S rDNA of plankton, which exists ubiquitously in all types of water. In order to evaluate the usefulness of this method for diagnosis of drowning, we used this method for detection of plankton 16S rDNA in drowned rabbits and non-drowned rabbits submerged after death, as well as two human drowning cases. Plankton DNA was identified from lung, liver, kidney, blood and brain of the drowned victims, and the DGGE patterns were helpful in indicating the site of drowning. Plankton DNA was also identified from two lung samples obtained from non-drowned rabbits. The results show that the new PCR-DGGE-based method is a potentially useful tool for diagnosing drowning.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17919866     DOI: 10.1016/j.forsciint.2007.08.005

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  2 in total

1.  Forensic drowning site inference employing mixed pyrosequencing profile of DNA barcode gene (rbcL).

Authors:  Ting Fang; Shiping Liao; Xiaogang Chen; Yuancun Zhao; Qiang Zhu; Yueyan Cao; Qiuyue Wang; Shu Zhang; Zehua Gao; Yiwen Yang; Yufang Wang; Ji Zhang
Journal:  Int J Legal Med       Date:  2019-06-12       Impact factor: 2.686

2.  A preliminary study on early postmortem submersion interval (PMSI) estimation and cause-of-death discrimination based on nontargeted metabolomics and machine learning algorithms.

Authors:  Fu-Yuan Zhang; Lin-Lin Wang; Wen-Wen Dong; Miao Zhang; Dilichati Tash; Xin-Jie Li; Shu-Kui Du; Hao-Miao Yuan; Rui Zhao; Da-Wei Guan
Journal:  Int J Legal Med       Date:  2022-01-31       Impact factor: 2.686

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.